AI Engineer (f/m/d)

Do you want to build AI features that thousands of users interact with every day?
We're looking for an AI Engineer to design, build and ship AI-powered capabilities across our SaaS time tracking product and develop internal tools to enhance our operations. You'll work across large language models, agentic systems and classical machine learning, turning ideas into product features that work reliably in production.

Graz

Full-time employee

Apply now

TimeTac is a continually growing and innovative software company with a focus on developing and providing web-based and mobile time tracking solutions. We maintain a modern, open corporate culture with a strong vision and a great working atmosphere in which creative thinking is encouraged. The products of TimeTac are among some of the leading cloud applications in the categories of time tracking and absence planning solutions.

Your future Role

Support us in building AI product features as well as in developing internal tools to streamline operations.
Design and build LLM-powered product features end to end: RAG pipelines, agentic workflows, context engineering and evaluation frameworks.
Own the full ML lifecycle for predictive features: from feature engineering and model selection through to training, evaluation with measurable quality metrics and tracking real-world impact.
Design and operate agentic systems that reason, act and integrate with the rest of the product in a reliable and explainable way.
Collaborate across software development and product to ship AI capabilities that non-technical stakeholders can understand and trust.
Stay current with the rapidly evolving AI landscape and bring relevant new approaches into the team's toolkit.
In this role, you report directly to our CTO/CPO.

Your Skills

At least 3 years of experience in applied AI or machine learning engineering, with hands-on experience shipping AI features to production users.
University degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Solid Python skills and comfort working across the full AI development lifecycle: data, modelling, evaluation and iteration.
Experience with LLMs and AI APIs (OpenAI, Anthropic, or similar), including context engineering, retrieval augmentation and building production applications on top of them.
Familiarity with RAG architectures: vector databases, retrieval strategies, chunking, and grounding responses in structured data.
Classical ML experience (supervised learning, anomaly detection, time-series) is a meaningful plus.
Ability to explain AI systems clearly to non-technical stakeholders: what the model does, why it decided something and where it might fail.
Curiosity, a willingness to learn and comfort in a space where the tooling changes fast.
Ownership mindset: You care about reliability and maintenance. You stay responsible for what you build.
Very good proficiency in English, both written and spoken.

This may inspire you

a modern office in the city center of Graz
flexible working time models
mutual appreciation and respect
possibility to work up to 2 days per week remotely
4 € food voucher for ever day in the office
continuous learning culture
multicultural team with great teamspirit
initatives for mental and physical fitness

This may inspire you


a modern office in the city center of Graz	flexible working time models	mutual appreciation and respect	possibility to work up to 2 days per week remotely

4 € food voucher for ever day in the office	continuous learning culture	multicultural team with great teamspirit	initatives for mental and physical fitness


a modern office in the city center of Graz	flexible working time models

mutual appreciation and respect	possibility to work up to 2 days per week remotely

4 € food voucher for ever day in the office	continuous learning culture

multicultural team with great teamspirit	initatives for mental and physical fitness

We welcome applicants of any gender and origin to become part of the success story of our highly motivated team.

We offer a competitive market salary with a clear willingness to overpay for exceptional candidates. According to the applicable IT collective agreement, this position offers a minimum gross annual salary of €55,356 (ST1, Regelstufe) for a full-time role (38.5 hours/week), based on at least three years of relevant professional experience in data engineering or a related field.

However, we actively pay above this minimum based on your individual qualifications, experience, and the value you bring to the role.

Across the Globe
We Help
To Use Time in a Meaningful Way.

	Your Contact
	Astrid Pfeiler Specialist Talent Acquisition & Recruiting

Apply now

AI Engineer (f/m/d)

Your future Role

Your Skills

This may inspire you

This may inspire you

Your Contact